Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AF39470228A1E3FE587C2D5FB653F59929EC38BC617888CF7F442529F82C54BC5A290 |
|
CONTENT
ssdeep
|
1536:oF2R5CS+7UipRJQBQZxINNNNONNNNmNNNANNNNFNNNNONNNzrXk7ZF:W5S+7OBjk7P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2e03f1dbe10e7c4 |
|
VISUAL
aHash
|
df6074e474001899 |
|
VISUAL
dHash
|
a686c989a4e5b271 |
|
VISUAL
wHash
|
ff00757c740018ff |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
a686c989a4e5b271 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 159 techniques to evade detection by security scanners and make reverse engineering more difficult.